Abstract #0738
Cardiac Diffusion Tensor Imaging: Adaptive Anisotropic Gaussian Filtering to Reduce Acquisition Time
Ria Mazumder 1,2 , Bradley D. Clymer 1 , Richard D. White 2,3 , and Arunark Kolipaka 2,3
1
Department of Electrical and Computer
Engineering, The Ohio State University, Columbus, OH,
United States,
2
Department
of Radiology, The Ohio State University, Columbus, OH,
United States,
3
Department
of Internal Medicine-Division of Cardiology, The Ohio
State University, Columbus, OH, United States
The counter-directional helical structure of the heart
plays an important role in regulating cardiac mechanics
and can be quantified on the basis of the angle it
subtends known as helical angle (HA). Non-invasive
measurement of HA is possible using diffusion tensor
imaging, the accuracy of which is dependent on increased
diffusion encoding directions (DED) and high signal to
noise ratio (i.e. increase in averages). The purpose
this study is to robustly estimate HA using fewer
averages and DED (thereby, reducing the acquisition
time) by implementing a 3D adaptive anisotropic Gaussian
post-processing filter.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
